- Sport
- Football
- Career
- 1993–2011
- Country
- 🇧🇷 Brazil
- Peak
- 97.0
- Dominance
- 93.0
- Statistics
- 94.0
- Honours
- 92.0
- Longevity
- 84.0
GOAT Rank · 91
This ranking is led by Ronaldo Nazário, Luis Suárez and Betty Vignotto. GOAT Rank currently ranks 91 eligible Football strikers using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Ronaldo Nazário ranks #1 on this list with a GOAT Score of 92.0.
How the GOAT Score is calculated →| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 13 | Ronaldo Nazário | Football | 🇧🇷 Brazil | 1993–2011 | 92.0 |
| 15 | Luis Suárez | Football | 🇺🇾 Uruguay | 2005–active | 92.0 |
| 25 | Betty Vignotto | Football | 🇮🇹 Italy | 1970–1990 | 90.9 |
| 32 | Patrizia Panico | Football | 🇮🇹 Italy | 1991–2016 | 90.0 |
| 34 | Cristiane Rozeira | Football | 🇧🇷 Brazil | 2002–active | 89.9 |
| 43 | Ian Rush | Football | 🏴 Wales | 1979–1999 | 89.5 |
| 45 | Inka Grings | Football | 🇩🇪 Germany | 1996–2013 | 89.5 |
| 48 | Gerd Müller | Football | 🇩🇪 Germany | 1963–1981 | 89.3 |
| 59 | Andriy Shevchenko | Football | 🇺🇦 Ukraine | 1994–2012 | 88.9 |
| 65 | Robert Lewandowski | Football | 🇵🇱 Poland | 2006–active | 88.8 |
| 68 | Delio Onnis | Football | 🇦🇷 Argentina | 1971–1986 | 88.8 |
| 71 | Conny Pohlers | Football | 🇩🇪 Germany | 1996–2013 | 88.8 |
| 78 | Carolina Morace | Football | 🇮🇹 Italy | 1978–1998 | 88.5 |
| 82 | David Villa | Football | 🇪🇸 Spain | 2000–2020 | 88.4 |
| 85 | Diego Forlán | Football | 🇺🇾 Uruguay | 1997–2019 | 88.4 |
| 102 | Abby Wambach | Football | 🇺🇸 United States | 2001–2015 | 87.7 |
| 113 | Henrik Larsson | Football | 🇸🇪 Sweden | 1992–2013 | 87.5 |
| 114 | Romelu Lukaku | Football | 🇧🇪 Belgium | 2009–active | 87.5 |
| 123 | Zlatan Ibrahimović | Football | 🇸🇪 Sweden | 1999–2023 | 87.3 |
| 126 | Hanna Ljungberg | Football | 🇸🇪 Sweden | 1996–2009 | 87.3 |
| 133 | Ciro Immobile | Football | 🇮🇹 Italy | 2008–active | 87.2 |
| 141 | Birgit Prinz | Football | 🇩🇪 Germany | 1993–2011 | 87.0 |
| 148 | Marie-Antoinette Katoto | Football | 🇫🇷 France | 2015–active | 86.9 |
| 151 | Bernard Lacombe | Football | 🇫🇷 France | 1969–1987 | 86.8 |
| 153 | Marco van Basten | Football | 🇳🇱 Netherlands | 1981–1995 | 86.7 |
| 158 | Esther González | Football | 🇪🇸 Spain | 2011–active | 86.7 |
| 160 | Gunnar Nordahl | Football | 🇸🇪 Sweden | 1940–1958 | 86.6 |
| 161 | Dixie Dean | Football | 🏴 England | 1923–1939 | 86.6 |
| 165 | Célia Šašić | Football | 🇩🇪 Germany | 2005–2015 | 86.4 |
| 168 | Sonia Bermúdez | Football | 🇪🇸 Spain | 2002–2021 | 86.4 |
| 175 | Alex Morgan | Football | 🇺🇸 United States | 2010–2024 | 86.2 |
| 180 | Vivianne Miedema | Football | 🇳🇱 Netherlands | 2013–active | 86.1 |
| 184 | Roger Milla | Football | 🇨🇲 Cameroon | 1970–1996 | 86.0 |
| 185 | Giovane Élber | Football | 🇧🇷 Brazil | 1990–2006 | 86.0 |
| 193 | Nadia Nadim | Football | 🇩🇰 Denmark | 2005–active | 85.9 |
| 203 | Fernando Torres | Football | 🇪🇸 Spain | 2001–2019 | 85.7 |
| 209 | Julián Álvarez | Football | 🇦🇷 Argentina | 2018–active | 85.6 |
| 211 | Sonny Anderson | Football | 🇧🇷 Brazil | 1988–2006 | 85.6 |
| 215 | Bebeto | Football | 🇧🇷 Brazil | 1983–2002 | 85.5 |
| 220 | Viktor Gyökeres | Football | 🇸🇪 Sweden | 2016–active | 85.5 |
| 228 | Filippo Inzaghi | Football | 🇮🇹 Italy | 1991–2012 | 85.4 |
| 238 | Lea Schüller | Football | 🇩🇪 Germany | 2015–active | 85.3 |
| 239 | Amy Rodriguez | Football | 🇺🇸 United States | 2005–2022 | 85.3 |
| 246 | Carlos Bianchi | Football | 🇦🇷 Argentina | 1967–1984 | 85.2 |
| 248 | Rudi Völler | Football | 🇩🇪 Germany | 1980–1996 | 85.2 |
| 254 | Jupp Heynckes | Football | 🇩🇪 Germany | 1964–1978 | 85.1 |
| 259 | Paolo Rossi | Football | 🇮🇹 Italy | 1973–1987 | 85.0 |
| 266 | Samuel Eto'o | Football | 🇨🇲 Cameroon | 1997–2019 | 84.9 |
| 274 | Alexander Isak | Football | 🇸🇪 Sweden | 2016–active | 84.8 |
| 276 | Roger Hunt | Football | 🏴 England | 1958–1972 | 84.7 |
Sport lists use the raw In-Sport GOAT Score. Cross-sport lists use the official competition-depth adjustment. No scores are recalculated for this page.
Read the full methodologyFive verified components are weighted consistently: dominance, peak, longevity, honours and statistics.
According to GOAT Rank's current data model, only verified athletes with sufficient career history, metrics, honours and independent sources are eligible. Rank and score are read live.